How to Implement Disk-Based Key-Value Storage in Java?

Question

How can I implement a disk-based key-value storage system in Java?

import java.io.*;
import java.util.HashMap;
import java.util.Map;

public class DiskKeyValueStore {
    private final File file;
    private Map<String, String> keyValueStore;

    public DiskKeyValueStore(String filePath) throws IOException {
        this.file = new File(filePath);
        this.keyValueStore = new HashMap<>();
        load();
    }

    private void load() throws IOException {
        if (file.exists()) {
            try (BufferedReader reader = new BufferedReader(new FileReader(file))) {
                String line;
                while ((line = reader.readLine()) != null) {
                    String[] parts = line.split("=", 2);
                    if (parts.length == 2) {
                        keyValueStore.put(parts[0], parts[1]);
                    }
                }
            }
        }
    }

    public void put(String key, String value) throws IOException {
        keyValueStore.put(key, value);
        save();
    }

    private void save() throws IOException {
        try (BufferedWriter writer = new BufferedWriter(new FileWriter(file))) {
            for (Map.Entry<String, String> entry : keyValueStore.entrySet()) {
                writer.write(entry.getKey() + "=" + entry.getValue());
                writer.newLine();
            }
        }
    }

    public String get(String key) {
        return keyValueStore.get(key);
    }
}

Answer

Creating a disk-based key-value storage system in Java involves managing data on the disk using reading and writing operations, without losing the benefits of in-memory lookup speeds. This guide walks you through setting up a simple key-value store using file I/O operations.

import java.io.*;
import java.util.HashMap;
import java.util.Map;

public class DiskKeyValueStore {
    private final File file;
    private Map<String, String> keyValueStore;

    public DiskKeyValueStore(String filePath) throws IOException {
        this.file = new File(filePath);
        this.keyValueStore = new HashMap<>();
        load();
    }

    private void load() throws IOException {
        if (file.exists()) {
            try (BufferedReader reader = new BufferedReader(new FileReader(file))) {
                String line;
                while ((line = reader.readLine()) != null) {
                    String[] parts = line.split("=", 2);
                    if (parts.length == 2) {
                        keyValueStore.put(parts[0], parts[1]);
                    }
                }
            }
        }
    }

    public void put(String key, String value) throws IOException {
        keyValueStore.put(key, value);
        save();
    }

    private void save() throws IOException {
        try (BufferedWriter writer = new BufferedWriter(new FileWriter(file))) {
            for (Map.Entry<String, String> entry : keyValueStore.entrySet()) {
                writer.write(entry.getKey() + "=" + entry.getValue());
                writer.newLine();
            }
        }
    }

    public String get(String key) {
        return keyValueStore.get(key);
    }
}

Causes

  • Absence of persistence in temporary data storage options
  • Need for data retention beyond application run time
  • Performance improvement for data retrieval by maintaining a simple structure

Solutions

  • Utilize file I/O operations to read and write key-value pairs
  • Implement a HashMap to manage in-memory data during application runtime
  • Load data into memory on initialization and save data upon modification

Common Mistakes

Mistake: Not handling file I/O exceptions properly.

Solution: Always wrap file I/O operations in try-catch blocks to manage errors effectively.

Mistake: Overwriting data without persistence checks.

Solution: Implement checks to avoid losing important data inadvertently.

Mistake: Inadequate synchronization in multi-threaded applications.

Solution: Use synchronization mechanisms or concurrent collections to handle thread safety.

Helpers

  • Java
  • disk-based storage
  • key-value store
  • file I/O in Java
  • persistent storage in Java
  • Java data management

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